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Codex

Codex is an OpenAI code-focused language model designed to understand and generate computer programs from natural-language and code inputs.

How 2 Manning books explain it

Introduction to Generative AI, Second Edition

An OpenAI GPT-based language model fine-tuned to generate and understand computer code.

How it is used
Supports programming as a pair-programming aid for autocomplete, code generation, and developer productivity.
How deep it goes
Explains fine-tuning, common interactions, and productivity uses, but stops short of model implementation and detailed failure analysis.
Examples
Uses Copilot suggestions, comment-to-code conversion, testing, coding interviews, and non-native English assistance.
What you can do after
Apply it via GitHub Copilot for autocomplete and first-draft functions while retaining human review.

Read how Introduction to Generative AI, Second Edition explains Codex →

Generative AI in Action

Codex is a language model trained particularly on source code to generate and assist with programming code.

How it is used
Supports code generation, completion, legacy-code understanding, and unit-test generation within developer workflows.
How deep it goes
Explains training, language coverage, contextual prompting, and fill-in-the-middle completion, but stops short of model internals.
Examples
Uses Copilot completions, contextual code suggestions, legacy-code assistance, and unit-test generation as concrete applications.
What you can do after
Apply it via GitHub Copilot to generate code and complete programming tasks across multiple languages.

Read how Generative AI in Action explains Codex →

Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.